#30dayMapChallenge 2020

Alexandra Kapp

November 1st 2020


#30dayMapChallenge

What is the 30dayMapChallenge?

My results 🎉

The idea is to make 30 maps from each day from 1st Nov to 30th Nov 2020. I hope to get about half done - so 15 maps.

I want to use this challenge to play around with different R packages for geospatial data and try out different ways of interactive visualizations.

Day 1: Points

Amount of cars in XHain mapped as points onto streets

There are 80.808 cars registered in Berlin (2017).

If all cars would start driving at the same time - it’d get pretty crowded 🚗🚗 🚗

Click here for full map

The polygon of the streets are derived as a ‘negative’ from the official blocks provided by the Geoportal Berlin. Points to represent cars are sampled randomly within the polygon.

R source code

Data:

Tools & Packages:

Day 2: Lines

All domestic German flights 2019

About 10% of all flights from German airports are domestic flights - so starting in Germany and landing in Germany.

The amount of flights between German airports are mapped here:

Click here for full map

R source code

Data:

Tools & Packages:

Day 3: Polygons

The catchment area of boulder gyms in Berlin

Playing around with Voroni maps: “Voronoi polygons are created so that every location within a polygon is closer to the sample point in that polygon than any other sample point.”

Here: All boulder gyms (that I know of) in Berlin. If everyone would go his or her closest gym (by beeline), this would be the catchment areas of each boulder gym.

Click here for full map

R source code

Tools & Packages:

Day 4: Hexagons

Traffic accidents in Stuttgart

The ‘Statistikportal’ offers a great data set on (almost) all accidents in Germany as single points. The mapdeck package auto aggregates point data into hexagons - so no need for data pre-processing.

I chose to crop the data to the outline of Stuttgart - but any other region or city can easily be used with the code by setting a different outline.

Click here for full map

R source code

Data:

Tools & Packages:

Day 5: Blue

Day 6: Red

Day 7: Green

Day 8: Yellow

Day 9: Monochrome

Day 10: Grid

Day 11: 3D

Day 12: Map not made with GIS software

Day 13: Raster

Day 14: Climate change

Day 15: Connections

Day 16: Island(s)

Day 17: Historical map

Day 18: Landuse

Day 19: NULL

Day 20: Population

Day 21: Water

Day 22: Movement

Day 23: Boundaries

Day 24: Elevation

Day 25: COVID-19

Day 26: Map with a new tool

Day 27: Big or small data

Day 28: Non-geographic map

Day 29: Globe

Day 30: A map